PUBLISHER: The Business Research Company | PRODUCT CODE: 1938633
PUBLISHER: The Business Research Company | PRODUCT CODE: 1938633
Artificial intelligence (AI)-powered veterinary diagnostics involves the use of intelligent computational systems that employ machine learning and data-driven algorithms to analyze animal health information. These systems are designed to identify patterns and anomalies within complex medical data, enabling faster and more accurate detection of potential health issues.
The primary components of AI-powered veterinary diagnostics include software, hardware, and services. Software consists of programs, instructions, and data that direct a computer or electronic device to perform specific tasks. These systems are applied to different animal types, including companion animals and livestock, and are used for applications such as disease detection, health monitoring, and treatment planning. Primary end users include veterinary hospitals and clinics, diagnostic laboratories, research institutions, and others.
Tariffs have affected the AI-powered veterinary diagnostics market by increasing the cost of importing high-tech imaging systems, analyzers, and AI software platforms. Hardware and software components are most impacted, particularly in regions like North America, Europe, and Asia-Pacific, where manufacturing and sourcing are heavily global. While tariffs have raised costs and slowed adoption in veterinary hospitals and diagnostic laboratories, they have also encouraged domestic innovation, promoted local manufacturing, and led to the development of more cost-efficient AI diagnostic solutions.
The artificial intelligence (ai)-powered veterinary diagnostics market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (ai)-powered veterinary diagnostics market statistics, including artificial intelligence (ai)-powered veterinary diagnostics industry global market size, regional shares, competitors with a artificial intelligence (ai)-powered veterinary diagnostics market share, detailed artificial intelligence (ai)-powered veterinary diagnostics market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai)-powered veterinary diagnostics industry. This artificial intelligence (ai)-powered veterinary diagnostics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (ai)-powered veterinary diagnostics market size has grown exponentially in recent years. It will grow from $1.94 billion in 2025 to $2.34 billion in 2026 at a compound annual growth rate (CAGR) of 20.6%. The growth in the historic period can be attributed to growing adoption of ai in veterinary diagnostics, advancements in imaging and analyzer technologies, increased awareness of animal health issues, rising investments in research institutes, limited integration of predictive analytics in veterinary practices.
The artificial intelligence (ai)-powered veterinary diagnostics market size is expected to see rapid growth in the next few years. It will grow to $4.85 billion in 2030 at a compound annual growth rate (CAGR) of 20.0%. The growth in the forecast period can be attributed to expansion of ai-powered diagnostic software, integration of wearable monitoring devices, rise in tele-veterinary services, adoption of big data and cloud analytics for predictive insights, growing demand for companion animal and livestock health monitoring. Major trends in the forecast period include predictive disease analytics, automated diagnostic workflows, integration of electronic health records (ehr), remote health monitoring for animals, ai-driven treatment planning.
The growing prevalence of animal diseases is expected to drive the expansion of the artificial intelligence (AI)-powered veterinary diagnostics market. Animal diseases arise from a variety of causes, including infectious agents, poor nutrition, genetics, and environmental stress. The increase in these diseases is largely attributed to intensive livestock farming, where high animal density in confined spaces accelerates the spread of infections. AI-powered veterinary diagnostics offer a solution by enabling quicker and more accurate detection of infections, predicting disease outbreaks, and facilitating timely treatment decisions to improve animal health. For example, the World Organization for Animal Health (WOAH) reported that in May 2025, the number of avian influenza outbreaks in mammals increased significantly, with 1,022 outbreaks in 55 countries in 2024, compared to 459 in 2023. This growing incidence of animal diseases is driving the demand for AI-powered veterinary diagnostics.
Leading companies in the AI-powered veterinary diagnostics market are working on developing advanced solutions, such as AI-based radiology interpretation tools, to enhance diagnostic accuracy, reduce processing times, and improve treatment outcomes. These tools utilize AI algorithms to analyze veterinary radiology images, including X-rays, CT scans, and MRIs, to identify abnormalities and provide faster, more precise diagnostic insights. In May 2025, Antech Diagnostics Inc., a U.S.-based veterinary diagnostics company, introduced RapidRead Dental, an AI-powered radiology interpretation tool for the fast and accurate detection of dental diseases in pets. This tool delivers a tooth-by-tooth analysis of dental radiographs in approximately 10 minutes, improving diagnostic accuracy, reducing anesthesia time by allowing for treatment decisions during procedures, and enhancing workflow efficiency. The tool also generates clear, annotated reports, which help veterinarians communicate findings more effectively to pet owners, improving overall patient care and compliance.
In September 2023, Mars Incorporated, a U.S.-based pet care product manufacturer, acquired SYNLAB.vet GmbH, a Germany-based provider of AI-powered veterinary diagnostics, for an undisclosed amount. This acquisition aims to strengthen Mars's veterinary laboratory business in Europe and expand its global veterinary diagnostics capabilities. By integrating advanced diagnostics and technology, Mars seeks to improve the services provided to veterinary professionals and pet owners, aligning with their mission to create a better world for pets.
Major companies operating in the artificial intelligence (ai)-powered veterinary diagnostics market are Zoetis Inc., Antech Diagnostics Inc., smaXtec animal care technology GmbH, Scopio Labs Ltd., SignalPET Inc., ImpriMed Inc., VetCT Ltd., CattleEye Ltd, VetChip, VetRadar, Vetspire LLC, EIO Diagnostics Inc., MiDOG, Moichor Inc., Techcyte Inc., Vetology Innovations Inc., Felcana, Petriage Inc., Aiforia Technologies Oyj, PawSmart.ai.
North America was the largest region in the artificial intelligence-powered veterinary diagnostics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai)-powered veterinary diagnostics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (ai)-powered veterinary diagnostics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The artificial intelligence (AI)-powered veterinary diagnostics market includes revenues earned by entities by providing services such as automated laboratory test interpretation, genomic data interpretation, predictive disease analytics, veterinary training, and AI integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered veterinary diagnostics market also includes sales of laboratory equipment, genomic testing kits, point-of-care diagnostic kits, and wearable animal health trackers. Values in this market are 'factory gate' values; that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence (AI)-Powered Veterinary Diagnostics Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (ai)-powered veterinary diagnostics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence (ai)-powered veterinary diagnostics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-powered veterinary diagnostics market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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